CHDH-SNA

Complex Human Data Hub - Social Network Analysis

This is material for the SNA workshop at Melbourne Connect
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Overview of the workshop

The workshop is built around a set of slides and a set of RMarkdown files, with accompanying data sets, that you will find here

The schedule for the SNA workshop

Introduction to Social Network Analysis
Introduction to Auto-logistic Actor Attribute Models
Introduction to stochastic actor-oriented models (SAOMs)
Modelling Social Influence and Selection with SAOM
Advanced topics in SAOMs

For details on venue and timings see Eventbrite

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Getting Started

Context

By network data, we will assume data where we have observations on binary tie-variables among a fixed set of nodes. In a typical dataset, network ties will be elicited through name-generators,[1] such as

Anongs the people in your organisation, list the people that you go to for advice

There are many other ways in which to collect and `operationalise' network ties. Here we will not deal with network inference such as inferring causal graphs or other network represenations

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R-Prerequisites

There are plenty of tutorials and introductions to network analysis in R and we refer, for example to Borgatti et al (2022)[2] for a comprehensive treatment (see also the accompanyhing online supplementary material)

No particular R-skills are expected. You should be able to download the RMarkdown files and run them locally. The RMarkdown files will read any data straight from https://raw.githubusercontent.com/johankoskinen/CDHD-SNA/main/data/.

Examples of loading and formatting network data is provided in

Markdowns/Data-Formatting.Rmd

You will find it in CHDH-SNA/Markdowns

No fancy R-wrappers will be used and the code is written entirely in base R and Quick-R should be a sufficient source of help outside of Googling package specific issues. For the SAOM part of the workshop (sessions 2-4) the repository https://www.stats.ox.ac.uk/~snijders/siena/ contains all the resources you will ever need.

You will, however, need to come with a laptop with R and R-studio installed. In addition, you will want to install the packages

sna
```
install.packages(sna)
```
network
```
install.packages(network)  
```
RSiena
```
install.packages(RSiena)
```

If you need to update your version of R, a handy guide is provided here

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Roadmap

Install (R version 4.2.1 (2022-06-23) may be required)
Install
Download CHDH-SNA-X.Rmd (replace X by session number)
Explore RMarkdown by
- Stepping through code
- Knit to html or pdf for future reference
Consult slide pack